Results 11 to 20 of about 1,715,429 (285)

Unsupervised two-class and multi-class support vector machines for abnormal traffic characterization [PDF]

, 2009
Although measurement-based real-time traffic classification has received considerable research attention, the timing constraints imposed by the high accuracy requirements and the learning phase of the algorithms employed still remain a challenge. In this
Hutchison, D., Pezaros, D., Marnerides, A., Kim, H.   +3 more
core   +7 more sources

Mixtures of Unsupervised Lexicon Classification [PDF]

CoRR
A draft on lexicon classification unsupervised learning. It shows that aggregating lexicon scores is equivalent to a finite mixture of multinomial Naive Bayes models.
Wiriyathammabhum, Peratham
openaire   +3 more sources

Unsupervised two-class & multi-class support vector machines for abnormal traffic characterization. [PDF]

, 2009
Although measurement-based real-time traffic classification has received considerable research attention, the timing constraints imposed by the high accuracy requirements and the learning phase of the algorithms employed still remain a challenge. In this
Kim, Hyun-chul, Hutchison, D., Pezaros, D., Pezaros, Dimitrios P., Marnerides, A., Kim, H., Marnerides, Angelos, Hutchison, David   +7 more
core   +4 more sources

Unsupervised learning of generative topic saliency for person re-identification [PDF]

, 2014
(c) 2014. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.© 2014. The copyright of this document resides with its authors.
Wang, H, Hanxiao Wang, Tao Xiang, Shaogang Gong, Xiang, T, Gong, S   +5 more
core   +3 more sources

Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

IEEE Access, 2021
An automatic classification of fine art images is limited by the scarcity of high-quality labels made by art experts. This study aims to provide meaningful automatic labeling of fine art paintings (machine labeling) without the need for human annotation.
Catherine Sandoval, Elena Pirogova, Margaret Lech   +2 more
doaj   +1 more source

DLUT: Decoupled Learning-Based Unsupervised Tracker

Sensors, 2023
Unsupervised learning has shown immense potential in object tracking, where accurate classification and regression are crucial for unsupervised trackers.
Zhengjun Xu, Detian Huang, Xiaoqian Huang, Jiaxun Song, Hang Liu   +4 more
doaj   +1 more source

Breast Image Classification Based on Multi-feature Joint Supervised Dictionary Learning [PDF]

Jisuanji gongcheng, 2018
Aiming at the problem that the unsupervised dictionary learning algorithm has low image classification accuracy,a supervised dictionary learning classification algorithm which combines with multiple image features is proposed.It uses the convolution ...
LIU Lihui,XU Jun,GONG Lei
doaj   +1 more source

Interpretable and unsupervised phase classification

Physical Review Research, 2021
Fully automated classification methods that provide direct physical insights into phase diagrams are of current interest. Interpretable, i.e., fully explainable, methods are desired for which we understand why they yield a given phase classification ...
Julian Arnold, Frank Schäfer, Martin Žonda, Axel U. J. Lode   +3 more
doaj   +1 more source

Self-supervised Regularization for Text Classification

Transactions of the Association for Computational Linguistics, 2021
Text classification is a widely studied problem and has broad applications. In many real-world problems, the number of texts for training classification models is limited, which renders these models prone to overfitting.
Meng Zhou, Zechen Li, Pengtao Xie
doaj   +1 more source

3D-DCDAE: Unsupervised Music Latent Representations Learning Method Based on a Deep 3D Convolutional Denoising Autoencoder for Music Genre Classification

Mathematics, 2021
With unlabeled music data widely available, it is necessary to build an unsupervised latent music representation extractor to improve the performance of classification models.
Lvyang Qiu, Shuyu Li, Yunsick Sung
doaj   +1 more source